> Dear list members,
> I have calculated the shared edges existing between each of the
> cover types (nine in this particular case) of a vector map.
> My objective is to determine, on the basis of this shared-edge analysis,
> which cover types tend to be associated (adjacent/contiguous/next)to each
> other.
> A simple table with the length of the shared edges for each two
> cover types is not too meaningful. For example, one of the cover types
> occupies about 70% of total landscape area, and thus the other cover
> types tend to share most of their edges with this dominant type. This
> (total edge shared) does not imply that there is a significant
> association (tendency for being located adjacent in the landscape). I
> tried to obtain a simple association measure that considered (corrected
> for) the effect of the different abundance of each of the cover types,
> but I don't feel really confident with the results I got.
> I wonder if there is available any association index or statistical test
> that determines whether a positive, negative or non-significant association
> exists between two given cover types in the landscape (preferably as derived
> from shared edges information). I guess this may be simpler to answer in
> raster than in vector spatial data.

Maybe a join count test, perhaps using the shared boundary length in the
weights matrix - Cliff, A. D., Ord, J. K. 1981 Spatial processes, Pion, p.
20. There is a version of the same colours (BB) test for R
(www.r-project.org) in the contributed package "spdep", and SpaceStat
(www.spacestat.com) also does it.

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